Lead Product Engineer

re-zoo-me; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Full benefits

Equinox

Private chef

Job summary

Crossing Hurdles in San Francisco is seeking a mid–senior level engineer with product and full‑stack experience to join a fast‑growing startup building AI infrastructure for autonomous agents.

You will help monitor, evaluate and improve agent behavior in production, providing reliable data insights and shaping product direction in a hands‑on environment with founder‑level ownership.

Expect competitive compensation, full benefits, and a culture that values product quality and rapid iteration.

Qualifications

• 2+ years of experience in product or full-stack engineering at tech startups.

Skills

Full-stack engineering

Product experience

Job description

San Francisco, CA Mid-Senior level Engineering and Information Technology Software Development

Crossing Hurdles connects skilled professionals with opportunities across leading AI training platforms and high-growth companies.As global demand for human input in AI development continues to grow, many platforms rely on large networks of capable contributors across technical, analytical, and knowledge-based domains. Crossing Hurdles helps professionals discover and access these opportunities by bringing together information, talent networks, and application pathways related to AI model trai...

Crossing Hurdles is a global recruitment firm partnering with leading US-based startups. We are hiring for a fast-growing startup building AI infrastructure that helps teams monitor, evaluate, and improve autonomous agents in production. Their platform tracks agent behavior, detects failures, and turns real-world data into insights to make AI systems more reliable and scalable.

Role Snapshot

• YOE: 2+ years of experience in product or full- stack engineering at tech startups

About The Clint

The company builds infrastructure for Agent Behaviour Monitoring (ABM), surfacing behavioural issues like instruction drift and context loss that traditional observability misses. Teams use it to understand how autonomous agents perform in production by clustering patterns across conversations and workflows, correlating regressions to interaction types, and pinpointing where reliability breaks down.

Why should you consider ?

• Build infrastructure that makes AI agents reliable in real production.
• Founder-level ownership with direct customer impact from day one.
• Work alongside an elite, fast-moving team that deeply values product quality.
• Massive agency to shape both the product and project direction.
• Top compensation plus full benefits, Equinox, and a private chef